Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

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Episoder(271)

Sayak Paul

Sayak Paul

This week we spoke with Sayak Paul, who is extremely active in the machine learning community. We discussed the AI landscape in India, unsupervised representation learning, data augmentation and contr...

17 Jul 20201h 36min

Robert Lange on NN Pruning and Collective Intelligence

Robert Lange on NN Pruning and Collective Intelligence

We speak with Robert Lange! Robert is a PhD student at the Technical University Berlin. His research combines Deep Multi-Agent Reinforcement Learning and Cognitive Science to study the learning dynami...

8 Jul 20201h 45min

WelcomeAIOverlords (Zak Jost)

WelcomeAIOverlords (Zak Jost)

We welcome Zak Jost from the WelcomeAIOverlords channel. Zak is an ML research scientist at Amazon. He has a great blog at http://blog.zakjost.com and also a Discord channel at https://discord.gg/xh2c...

30 Jun 20201h 58min

Facebook Research - Unsupervised Translation of Programming Languages

Facebook Research - Unsupervised Translation of Programming Languages

In this episode of Machine Learning Street Talk Dr. Tim Scarfe, Yannic Kilcher and Connor Shorten spoke with Marie-Anne Lachaux, Baptiste Roziere and Dr. Guillaume Lample from Facebook Research (FAIR)...

24 Jun 20201h 2min

Francois Chollet - On the Measure of Intelligence

Francois Chollet - On the Measure of Intelligence

We cover Francois Chollet's recent paper. Abstract; To make deliberate progress towards more intelligent and more human-like artificial systems, we need to be following an appropriate feedback signal:...

19 Jun 20202h 33min

OpenAI GPT-3: Language Models are Few-Shot Learners

OpenAI GPT-3: Language Models are Few-Shot Learners

In this episode of Machine Learning Street Talk, Tim Scarfe, Yannic Kilcher and Connor Shorten discuss their takeaways from OpenAI’s GPT-3 language model. With the help of Microsoft’s ZeRO-2 / DeepSpe...

6 Jun 20201h 51min

Jordan Edwards: ML Engineering and DevOps on AzureML

Jordan Edwards: ML Engineering and DevOps on AzureML

This week we had a super insightful conversation with Jordan Edwards, Principal Program Manager for the AzureML team! Jordan is on the coalface of turning machine learning software engineering into ...

3 Jun 20201h 12min

One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)

*Note this is an episode from Tim's Machine Learning Dojo YouTube channel. Join Eric Craeymeersch on a wonderful discussion all about ML engineering, computer vision, siamese networks, contrastive lo...

2 Jun 20202h 28min

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